English

pAI/MSc: ML Theory Research with Humans on the Loop

Artificial Intelligence 2026-04-23 v1 Machine Learning Multiagent Systems

Abstract

We present pAI/MSc, an open-source, customizable, modular multi-agent system for academic research workflows. Our goal is not autonomous scientific ideation, nor fully automated research. It is narrower and more practical: to reduce by orders of magnitude the human steering required to turn a specified hypothesis into a literature-grounded, mathematically established, experimentally supported, submission-oriented manuscript draft. pAI/MSc is built with a current emphasis on machine learning theory and adjacent quantitative fields.

Keywords

Cite

@article{arxiv.2604.20622,
  title  = {pAI/MSc: ML Theory Research with Humans on the Loop},
  author = {Mahmoud Abdelmoneum and Pierfrancesco Beneventano and Tomaso Poggio},
  journal= {arXiv preprint arXiv:2604.20622},
  year   = {2026}
}

Comments

34 pages, 7 tables

R2 v1 2026-07-01T12:30:33.749Z